python actor model framework

Concurrency is a crucial aspect of modern software development, and Python offers various tools and libraries to help developers build concurrent applications. One powerful paradigm for concurrent programming is the actor model. In this tutorial, we'll explore the Pykka library, a Python implementation of the actor model, and learn how to use it to build concurrent and scalable applications.
The actor model is a mathematical model for concurrent computation that abstracts the concurrent execution of objects called actors. An actor is an independent unit of computation that communicates with other actors by passing messages. Each actor has its own state, behavior, and mailbox for incoming messages.
Key characteristics of the actor model include:
Isolation: Actors run independently and do not share memory. They communicate only through message passing.
Asynchrony: Actors operate asynchronously, allowing for concurrent execution without the need for explicit synchronization.
Location Transparency: Actors can be distributed across different machines, providing a transparent way to build distributed systems.
Pykka is a lightweight and pure Python implementation of the actor model. It is designed to be simple, easy to use, and well-integrated with Python's threading and multiprocessing modules.
You can install Pykka using pip:
Let's start by creating a simple actor class. Each actor in Pykka should inherit from pykka.ThreadingActor or pykka.Actor for threading or multiprocessing, respectively.
Once an actor class is defined, we can create an instance of it and start it.
In the example above, the on_receive method is called whenever the actor receives a message. You can customize this method to define how the actor should handle different types of messages.
Pykka allows you to handle exceptions that occur within an actor by overriding the on_failure method.